| USE OF ARTIFICIAL INTELLIGENCE FOR GUIDANCE, Q.C., AND VERIFICATION OF SEISMIC INVERSION IN FRACTURED CARBONATE RESERVOIRS OF THE WESTERN AND EASTERN DESERT, EGYPT |
| Paper ID : 1095-ISCH |
| Authors |
|
Farouk Ibrahim Ali Metwalli *1, Nabil A. Estbi12 1Helwan University 2Petroleum Consultant |
| Abstract |
| One of the main challenges in the oil industry is the large volume of non-extracted hydrocarbons from fractured carbonate reservoirs, particularly in old and nearly depleted fields. This study aims to enhance oil recovery in fractured carbonate reservoirs of the Western and Eastern Desert, Egypt, by integrating Artificial Intelligence (AI) with advanced seismic techniques. The proposed methodology employs AI to generate amplitude envelope attributes and construct 3D seismic stratigraphic volumes calibrated with available well data. This approach provides a cost-effective, fast, and reliable tool to identify fracture orientations and high-fracture-density zones, thereby improving the targeting of new drilling locations. The work is based on key geological and physical principles: carbonate reservoirs typically exhibit low porosity and permeability, while fractures provide the primary pathways for hydrocarbon flow. By reprocessing 3D seismic gathers and applying seismic inversion, it becomes possible to delineate the highest fracture zones and determine fracture orientations, guided by physical properties such as Vs approaching zero perpendicular to faults and Vp maximizing parallel to faults. In addition, microgravity surveys are incorporated to refine depth estimation of oil tops and lateral extents, contributing to more accurate economic evaluations. A novel application of AI in this study involves constructing seismic stratigraphic columns from 3D seismic data by mapping amplitude envelopes calibrated to well log data. The integrated workflow provides continuous guidance, quality control, and verification of seismic inversion results through extraction of elastic parameters (porosity, bulk modulus, velocity, density, etc.). |
| Keywords |
| Artificial Intelligence (AI) , advanced seismic techniques, Eastern and Western Desert, Egypt |
| Status: Abstract Accepted (Oral Presentation) |